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All Journal WIDYA TEKNIKA Jurnal Teknologi dan Manajemen Informatika DINAMIKA DOTCOM TEKNOLOGI INFORMASI Prosiding SNATIKA Vol 01 (2011) International conference on Information Technology and Business (ICITB) SMATIKA JOIV : International Journal on Informatics Visualization JURNAL MEDIA INFORMATIKA BUDIDARMA JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI ILKOM Jurnal Ilmiah Conference on Innovation and Application of Science and Technology (CIASTECH) Journal on Education Jurnal Masyarakat Merdeka (JMM) Building of Informatics, Technology and Science Jurnal Aplikasi Dan Inovasi Ipteks SOLIDITAS Jurnal Pendidikan dan Keluarga Buana Information Technology and Computer Sciences (BIT and CS) JATI (Jurnal Mahasiswa Teknik Informatika) Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Jurnal Pembelajaran Pemberdayaan Masyarakat (JP2M) Community Development Journal: Jurnal Pengabdian Masyarakat Among : Jurnal Pengabdian Masyarakat International Journal of Business, Law, and Education Jurnal Simki Pedagogia JUSTIN (Jurnal Sistem dan Teknologi Informasi) Seminar Nasional Hasil Riset dan Pengabdian (SNHRP) ETAM: Jurnal Pengabdian kepada Masyarakat Prosidia Widya Saintek Jurnal Pengabdian Masyarakat dan Riset Pendidikan El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam Journal of Ekonomics, Finance, and Management Studies JITEEHA: Journal of Information Technology Applications in Education, Economy, Health and Agriculture Journal of Social Entrepreneurship and Creative Technology Jurnal Simki Pedagogia
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Analysys of Consumer Buying Behavior of Goods and Services Using The Naïve Bayes Method and Clustering Study in The Computer Service Shop Fahmi, Muchammad Alvi Nur; Marisa, Fitri; Conteh, Alusine
Journal of Information Technology application in Education, Economy, Health and Agriculture Vol. 1 No. 1 (2024): February
Publisher : Lumina Infinity Academy Foundation

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Based on the observation results at Anik Komputer as a company providing computer, printer, and other device services, online sales results have a significant influence on revenue generation. Therefore, it is necessary to know the most significant factors that influence consumers to buy goods and services online. This study aims to identify factors that influence purchasing decisions, evaluate consumer behavior patterns, and propose strategic steps based on web intelligent. The analysis method uses Data Mining with the Naïve Bayes and Clustering algorithms. The results of this study indicate that the factors that influence purchasing decisions at Anik Komputer are price, customer reviews, and stock availability. Customer segmentation based on purchasing patterns through Clustering analysis produces three main segments, namely loyal customers (30% of total customers) who contribute the most to total sales of 40%, price sensitive customers (50% of total customers) who contribute 45% to sales, and new customers (20% of total customers) who contribute 15% to sales. This analysis provides deeper insight into consumer behavior that can be applied in intelligent web-based marketing strategies to increase the effectiveness and efficiency of online sales.
Analysis of Restaurant Ordering Patterns Using Apriori Algorithm Marisa, Fitri; Badrussalam, Nanda; Ahmad, Sharifah Sakinah Syed; Vitianingsih, Anik Vega; Maukar, Anastasia L
Journal of Information Technology application in Education, Economy, Health and Agriculture Vol. 2 No. 2 (2025): June
Publisher : Lumina Infinity Academy Foundation

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This study implements the Apriori algorithm to analyze ordering patterns in home-based restaurants, specifically Dapur Mb Yani. Sales transaction data for three weeks shows that the Geprek Sambal Merah, Geprek Sambal Ijo, and Ayam Crispy menus are the most frequently ordered items, both individually and in combination. The combination of Geprek Sambal Merah, Ayam Crispy, and Es Teh has a high association value, making it a candidate for bundling promotions, while the strong relationship between Geprek Sambal Merah and Geprek Sambal Ijo opens up opportunities for special offers involving both menus. These results help restaurant managers design more effective promotional strategies, manage ingredient stocks efficiently, and improve customer experience. The application of the Apriori algorithm proves its relevance in supporting data-based decisions, especially for small businesses, as well as opening up opportunities for further development in the culinary industry.
Implementation of Apriori Algorithm on Wet Cake Sales Darmawan, Firmansyah Aji; Marisa, Fitri
Journal of Information Technology application in Education, Economy, Health and Agriculture Vol. 3 No. 1 (2026): Vol. 3 No. 1 (2026): February
Publisher : Lumina Infinity Academy Foundation

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This research implements the Apriori algorithm on wet cake sales data to identify frequent purchase patterns. In an era of intense business competition, efficient inventory management and sales strategies are essential, especially for perishable products. Daily sales data is analyzed using a quantitative approach, focusing on support and confidence as the main parameters. The analysis results show product combinations that are often bought together, such as {Bolu Pisang, Martabak}, with a support value of 42.86% and confidence of 75.00%. The findings provide valuable insights for designing marketing and stock management strategies, which can improve business competitiveness and sustainability. This research also encourages the application of similar techniques in other business sectors to improve operational efficiency.
Utilization of Artificial Intelligence in Consumer Sentiment Analysis on Social Media to Support Marketing Strategy Suprapto, Muchammad Zhulfikar; Marisa, Fitri; Andarwati, Mardiana; Puspitarini, Erri Wahyu
Journal of Information Technology application in Education, Economy, Health and Agriculture Vol. 3 No. 1 (2026): Vol. 3 No. 1 (2026): February
Publisher : Lumina Infinity Academy Foundation

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Abstract

The rapid growth of social media platforms has transformed how consumers express their opinions, making sentiment analysis a critical tool for understanding consumer behavior. This research explores the use of Artificial Intelligence (AI) in sentiment analysis, specifically through Natural Language Processing (NLP) techniques, to analyze consumer sentiment on social media platforms such as Twitter and Instagram. By employing sentiment classification models, including BERT (Bidirectional Encoder Representations from Transformers) and Logistic Regression with TF-IDF, the study aims to uncover patterns in consumer sentiment and provide insights to businesses for developing effective marketing strategies. The results demonstrate that BERT outperforms Logistic Regression, offering higher accuracy, precision, recall, and F1-score in sentiment classification. Additionally, sentiment trend analysis highlights how consumer opinions fluctuate over time in response to marketing campaigns, while sentiment distribution analysis provides an overview of the general attitude toward products. This study offers a comprehensive AI-driven framework for businesses to improve customer satisfaction, optimize marketing efforts, and enhance brand loyalty through real-time sentiment insights.
Co-Authors Addian Nur Rijal Adi Masliardi Agustinus Noertjahyana Ahmad, Sharifah Sakinah Syed Akbar, Ismail Ali muhajir, Ali Alifia Nandira Maharani Anastasia Lidya Maukar Andy Hardianto Anik Vega Vitianingsih Anjani, Sofia Puspa Araujo, Aprilio Demetrius De Arie Restu Wardhani Arisanti, Diah Aviv Yuniar Rahman Badrussalam, Nanda Baehaqi Bagas Imadani Putra, Alif Bambang Amir Alhakim Bura, Audyel Umbu Chatarina Umbul Wahyuni Christine Ulina Tarigan Conteh, Alusine Dahlia Darmawan, Firmansyah Aji Denny Bernardus Dewa Oka Suparwata Dini Kristianti, Dini Domingos Sinorio de Araujo, Domingos Dwi Fita Heriyawati Dwi Purnomo Efendi, Dedi Usman Elok Novita Fahmi, Muchammad Alvi Nur Fatmawati, Amelia Firman Hidayat Firman Nurdiyansyah Firman Nurdiyansyah, Firman Hajar Mukaromah Handajani, Endah Tri Esti Handini, Mia Hardiyanto, Andy Haryanto, Kurniawan Wahyu Ika Pranita Siregar Imran, Hamzah Al Indah Dwi Mumpuni Indra Dharma Wijaya, Indra Dharma Istiadi jauhar, afif Judijanto, Loso Khamaludin, Khamaludin KRISTIAWAN KRISTIAWAN Kushariyadi Kushariyadi Ladopurab, Bartolomeus Wadan Larasati, Isbalaikana Luruk, Maria Ovalia Mahmudin Mahmudin, Mahmudin Mardiana Andarwati Margaret Stevani Marilaeta Nurak, Yulita Maukar, Anastasia Maukar, Anastasia L Maukar, Anastasya Lidya Mausa Agrevinna Meidy Diliana Agustin Nahak, Redemtus Neno, Adi nisti, Melita Nova Ch. Mamuaya NURDIANSYAH, FIRMAN Nurfitri, Indah Karminia Pradana, Teguh Pramisela, Intan Yosa Pramudita, Atanasia Prissiani Andi Ningrum Purnamasari, Putri Indah Puspitarini, Erri Wahyu Putra, Dimas Rossiawan Hendra Putra, Rangga Pahlevi Putri, Avira Maresa Putri, Chauliyah Fatma Putri, Jessica Ananda Rena Augia Putrie Rivaldiknas Gampar, Philipus Rizal, Moch Arif Samsul Rochmawati, Sofi Nur Rosario, Maria Madalena Do Rudy Joegijantoro, Rudy Salmanarrizqie, Ageng Sidi, Husri Slamet Riyadi, Slamet Riyadi Sofyan Rachma Danni, Muhammad Sufa, Siska Armawati Sufianto, Dani Suksmawati, Affi Nizar Suprapto, Muchammad Zhulfikar Susti Rumianti Uda, Tonich Ulfah Rahamawati, Ulya Un, Fransiskus Deni Wahyu Iriananda, Syahroni Warda Indadihayati Wardianto, Wardianto Wijaya, Indra Darma Yudi Kristyawan, Yudi Zangana, Hewa Majeed